import numpy as np
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn import svm


X = np.loadtxt("data/X/data.csv", delimiter=",")
y = np.loadtxt("data/target/data.csv", delimiter=",")


clf = svm.SVC(kernel="poly")
# clf.fit(X_train, y_train)
scores = cross_val_score(clf, X, y, cv=5)

print(scores.mean())
